Predicting real-world response to mepolizumab in severe asthma using machine learning - Vienna 2024

Relationship between biomarkers including microbiomes and respiratory conditions

Chair(s): Randi Bertelsen, Raju Pangeni

Session type: Poster session

Predicting real-world response to mepolizumab in severe asthma using machine learning

Koyo Usuba

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Impact of the COVID-19 pandemic on the diagnosis of COPD in rural hospitals 2018-2021, Colombia

Angela Maria Giraldo Montoya

Poster

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Biomarker profiles across obstructive and non-obstructive lung function trajectories

Jonas Eriksson Str?m

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Variability of eosinophilia in the LEAD study: Pulmonary and extrapulmonary traits

Charmaine J. M. Helk-lim

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Validation of self-reported asthma medication use in Sweden and Finland

Elias Nurmi

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Oral inflammation predicts respiratory disease 10 years later in a Nordic population based study

Randi Bertelsen

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Characteristics of severe asthma patients treated with biotherapy: the French Palomb Cohort.

Nolwenn Jestin-guyon

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Gender differences in the healthy lower airway microbiome

Hallvard Juhler

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Association between oral bacteria and respiratory health

Christine Cramer

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Post-COVID after hospitalization of COVID-19 patients during the pandemic - monocentric retrospective study

Vladimir Koblizek

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Biologics for severe asthma: control and quality of life in real-life settings

Sara Maio

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Association between platelet and blood eosinophil counts in asthmatic adults: Results from NHANES 2011-2018

Jun Wen

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The economic cost of neutrophilic asthma in adult patients from the Italian general population.

Valentina Lando

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Allostatic load in adults with airflow obstruction a new concept to understand health challenges?

Mohammad Azizzadeh

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Serum eosinophil-derived neurotoxin levels in machine learning-derived respiratory symptom clusters in adults

Daniil Lisik

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Historical blood eosinophil levels in adults with and without obstructive airways disease

Peter Ascanius Jacobsen

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Predicting real-world response to mepolizumab in severe asthma using machine learning

Koyo Usuba

Poster

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Proteinase-3 in plasma and BAL in patients with COPD

Julie Hestnes

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Characteristics of long-term oral corticosteroid users stratified by blood eosinophil count in the International Severe Asthma Registry

Mona Al-ahmad

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Phenotype and biomarkers in patients who initiated biologics therapy stratified by oral corticosteroid use in the International Severe Asthma Registry

Carlos A Torres-duque

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Machine learning-derived asthma phenotypes in a Swedish adult population-representative sample

Muwada Bashir

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CDN Connection Issue

The ERS Congress 2024, Vienna

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